SoundFingerprinting 4.1.0-alpha
See the version list below for details.
dotnet add package SoundFingerprinting --version 4.1.0-alpha
NuGet\Install-Package SoundFingerprinting -Version 4.1.0-alpha
<PackageReference Include="SoundFingerprinting" Version="4.1.0-alpha" />
paket add SoundFingerprinting --version 4.1.0-alpha
#r "nuget: SoundFingerprinting, 4.1.0-alpha"
// Install SoundFingerprinting as a Cake Addin #addin nuget:?package=SoundFingerprinting&version=4.1.0-alpha&prerelease // Install SoundFingerprinting as a Cake Tool #tool nuget:?package=SoundFingerprinting&version=4.1.0-alpha&prerelease
SoundFingerprinting is a C# framework that implements an efficient algorithm of audio identification. Designed for developers, enthusiasts, researchers in the fields of audio processing, data mining, digital signal processing.
Product | Versions Compatible and additional computed target framework versions. |
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.NET Framework | net35 is compatible. net40 is compatible. net403 was computed. net45 is compatible. net451 was computed. net452 was computed. net46 was computed. net461 was computed. net462 was computed. net463 was computed. net47 was computed. net471 was computed. net472 was computed. net48 was computed. net481 was computed. |
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- NAudio (>= 1.7.3)
- Ninject (>= 3.2.2)
- protobuf-net (>= 2.3.2)
NuGet packages (7)
Showing the top 5 NuGet packages that depend on SoundFingerprinting:
Package | Downloads |
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SoundFingerprinting.Emy
SoundFingerprinting.Emy is a native C# client for Emy fingerprints storage. It provides ways to insert, query, delete entries from Emy. To learn more about SoundFingerprinting visit github page https://github.com/AddictedCS/soundfingerprinting. To learn more about Emy visit https://www.emysound.com |
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SoundFingerprinting.Audio.Bass
Un4seen.Bass extension library for SoundFingerprinting framework. SoundFingerprinting default library is designed to read only raw wave files. This extension provides the ability to read all files supported by Bass (including .mp3, .flac, .ogg). Un4seen.Bass is free for non-comercial use. If you intend to use this extension for commercial purposes, please contact http://www.un4seen.com for licensing |
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SoundFingerprinting.Audio.NAudio
NAudio extension library for SoundFingerprinting framework. This extension provides the ability to read all files supported by NAudio media foundation framework. Since NAudio depends on Windows native calls, this extension can execute only in Windows environment. |
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SoundFingerprinting.Solr
SoundFingerprinting is a C# framework that implements an efficient algorithm of audio fingerprinting and identification. Designed for developers, enthusiasts, researchers in the fields of audio processing, data mining, digital signal processing. |
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SoundFingerprinting.SQL
SoundFingerprinting is a C# framework that implements an efficient algorithm of audio fingerprinting and identification. Designed for developers, enthusiasts, researchers in the fields of audio processing, data mining, digital signal processing. |
GitHub repositories (1)
Showing the top 1 popular GitHub repositories that depend on SoundFingerprinting:
Repository | Stars |
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cjmanca/plex-credits-detect
Augments plex's built in intro detection, additionally detecting credits.
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Version | Downloads | Last updated |
---|---|---|
11.2.0 | 55 | 12/19/2024 |
11.1.0 | 719 | 10/29/2024 |
11.0.0 | 328 | 10/3/2024 |
10.7.0 | 709 | 8/8/2024 |
10.6.0 | 262 | 7/9/2024 |
10.4.0 | 335 | 6/5/2024 |
10.3.1 | 275 | 5/17/2024 |
10.3.0 | 143 | 5/16/2024 |
10.0.0 | 852 | 4/5/2024 |
9.5.0 | 220 | 3/27/2024 |
9.4.4 | 867 | 3/2/2024 |
9.4.2 | 404 | 2/27/2024 |
9.4.0 | 312 | 2/26/2024 |
9.4.0-beta1 | 115 | 2/23/2024 |
9.3.0 | 352 | 2/19/2024 |
9.2.0 | 381 | 2/6/2024 |
9.1.0 | 1,037 | 12/28/2023 |
9.0.0 | 1,030 | 11/30/2023 |
9.0.0-beta | 580 | 11/22/2023 |
9.0.0-alpha | 117 | 11/19/2023 |
8.33.0 | 448 | 12/28/2023 |
8.32.0 | 172 | 11/21/2023 |
8.30.0 | 1,121 | 10/25/2023 |
8.28.0 | 1,270 | 9/21/2023 |
8.27.2 | 644 | 9/18/2023 |
8.27.1 | 583 | 9/18/2023 |
8.27.0 | 484 | 9/14/2023 |
8.26.0 | 711 | 9/1/2023 |
8.25.0 | 793 | 8/28/2023 |
8.24.0 | 2,019 | 7/17/2023 |
8.23.0 | 3,787 | 5/15/2023 |
8.22.0 | 4,016 | 4/3/2023 |
8.21.0 | 3,613 | 1/22/2023 |
8.20.0 | 1,190 | 1/12/2023 |
8.19.0 | 2,911 | 12/12/2022 |
8.18.0 | 1,140 | 12/8/2022 |
8.17.0 | 1,168 | 11/30/2022 |
8.16.5 | 1,183 | 11/26/2022 |
8.16.3 | 1,103 | 11/22/2022 |
8.16.2 | 1,120 | 11/16/2022 |
8.16.1 | 1,201 | 11/14/2022 |
8.16.0 | 1,181 | 11/11/2022 |
8.15.0 | 2,665 | 9/20/2022 |
8.14.0 | 1,815 | 8/24/2022 |
8.13.0 | 6,324 | 8/16/2022 |
8.12.1-patch1 | 413 | 12/28/2023 |
8.12.0 | 4,369 | 6/6/2022 |
8.9.1 | 4,359 | 4/27/2022 |
8.9.0 | 1,329 | 4/27/2022 |
8.8.0 | 2,152 | 4/17/2022 |
8.7.0 | 2,457 | 4/6/2022 |
8.6.0 | 2,586 | 3/23/2022 |
8.5.1 | 1,880 | 2/23/2022 |
8.5.0 | 1,394 | 2/18/2022 |
8.4.0 | 1,437 | 2/8/2022 |
8.3.0 | 1,440 | 1/21/2022 |
8.2.0 | 1,628 | 1/6/2022 |
8.1.0 | 1,120 | 12/28/2021 |
8.0.0 | 2,945 | 12/22/2021 |
8.0.0-beta4 | 744 | 12/21/2021 |
8.0.0-beta3 | 818 | 12/8/2021 |
8.0.0-beta2 | 210 | 12/7/2021 |
8.0.0-beta | 221 | 12/7/2021 |
8.0.0-alpha | 220 | 12/6/2021 |
7.17.0 | 3,162 | 11/30/2021 |
7.16.0 | 2,248 | 11/26/2021 |
7.15.0 | 2,922 | 11/9/2021 |
7.14.0 | 1,205 | 11/9/2021 |
7.13.0 | 1,858 | 10/19/2021 |
7.12.0 | 1,272 | 10/13/2021 |
7.10.0 | 3,510 | 6/29/2021 |
7.9.9 | 2,859 | 5/10/2021 |
7.9.6 | 1,373 | 4/30/2021 |
7.9.4 | 1,303 | 4/27/2021 |
7.9.3 | 1,343 | 4/18/2021 |
7.9.0 | 24,337 | 4/5/2021 |
7.8.1 | 2,075 | 3/21/2021 |
7.8.0 | 1,218 | 3/19/2021 |
7.7.0 | 517 | 3/15/2021 |
7.5.5 | 2,058 | 1/25/2021 |
7.5.2 | 1,911 | 1/13/2021 |
7.4.24 | 2,994 | 11/30/2020 |
7.4.19 | 2,606 | 11/6/2020 |
7.4.13 | 5,021 | 8/25/2020 |
7.4.12 | 2,335 | 8/11/2020 |
7.4.11 | 1,400 | 8/4/2020 |
7.4.10 | 1,388 | 7/30/2020 |
7.4.7 | 3,061 | 7/22/2020 |
7.4.6 | 1,393 | 7/20/2020 |
7.4.1 | 3,698 | 6/25/2020 |
7.4.0 | 1,532 | 6/19/2020 |
7.3.3 | 3,217 | 5/12/2020 |
7.3.2 | 2,031 | 5/8/2020 |
7.3.1 | 1,406 | 5/4/2020 |
7.3.0 | 1,435 | 4/25/2020 |
7.2.0 | 2,602 | 3/31/2020 |
7.2.0-beta3 | 1,499 | 3/17/2020 |
7.2.0-beta2 | 1,056 | 3/12/2020 |
7.2.0-beta | 1,213 | 2/27/2020 |
7.1.0 | 2,628 | 2/3/2020 |
7.1.0-beta4 | 1,115 | 12/11/2019 |
7.1.0-beta3 | 1,083 | 11/11/2019 |
7.1.0-beta2 | 506 | 11/5/2019 |
7.1.0-beta | 1,124 | 10/23/2019 |
7.1.0-alpha | 423 | 10/8/2019 |
7.0.0 | 4,442 | 7/1/2019 |
6.3.0 | 2,224 | 5/31/2019 |
6.2.2 | 4,407 | 5/1/2019 |
6.2.1 | 2,217 | 4/5/2019 |
6.2.1-beta4 | 529 | 3/27/2019 |
6.2.1-beta3 | 520 | 3/18/2019 |
6.2.1-beta2 | 530 | 3/17/2019 |
6.2.1-beta1 | 517 | 3/12/2019 |
6.2.0 | 2,609 | 3/4/2019 |
6.1.1 | 1,947 | 2/15/2019 |
6.1.0 | 878 | 2/1/2019 |
6.1.0-beta4 | 605 | 1/14/2019 |
6.1.0-beta3 | 627 | 1/10/2019 |
6.1.0-beta2 | 689 | 1/8/2019 |
6.1.0-beta | 635 | 1/7/2019 |
6.0.0 | 2,727 | 11/6/2018 |
6.0.0-beta | 671 | 10/30/2018 |
5.2.3 | 4,374 | 9/20/2018 |
5.2.2 | 10,511 | 7/4/2018 |
5.2.1 | 2,515 | 5/10/2018 |
5.2.0 | 1,249 | 4/29/2018 |
5.1.0 | 1,294 | 3/20/2018 |
5.0.0 | 1,216 | 3/13/2018 |
5.0.0-alpha | 954 | 3/12/2018 |
4.2.1 | 1,927 | 3/5/2018 |
4.2.0 | 1,734 | 3/1/2018 |
4.1.0 | 2,156 | 12/5/2017 |
4.1.0-alpha | 1,056 | 10/27/2017 |
4.0.0 | 1,610 | 10/23/2017 |
3.2.0 | 1,870 | 10/14/2017 |
3.1.2 | 1,860 | 9/16/2017 |
3.1.0 | 2,483 | 12/15/2016 |
3.0.0 | 1,934 | 12/6/2016 |
3.0.0-beta | 1,212 | 11/29/2016 |
3.0.0-alpha | 1,272 | 11/23/2016 |
2.3.3 | 1,783 | 11/10/2016 |
2.3.1 | 1,768 | 10/29/2016 |
2.3.0 | 1,389 | 10/28/2016 |
2.2.0 | 2,046 | 2/1/2016 |
2.1.0 | 1,248 | 1/16/2016 |
2.0.0 | 1,627 | 1/15/2016 |
2.0.0-alpha | 1,224 | 5/16/2015 |
1.0.1.20018 | 2,133 | 6/1/2014 |
1.0.0.33376 | 2,164 | 4/26/2014 |
0.5.3 | 1,713 | 2/3/2014 |
0.5.2 | 1,304 | 1/26/2014 |
0.5.0.1 | 2,521 | 1/12/2014 |
0.4.2-alpha | 1,242 | 6/16/2013 |
0.4.1-alpha | 1,171 | 6/15/2013 |
0.4.0-alpha | 1,204 | 6/14/2013 |
Version 4.1.0-alpha comes with new experimental permutations which should solve the problem of high hash collisions across fingerprints.
Version 4.0.0 comes with a list of improvements. New Haar wavelet transformation normalization factor is now set-up as the default one. It yields better recall and accuracy. Re-index fingerprints if you are migrating from v3.x. Most important update in v4 is an improved fingerprinting speed (2 mins of audio are fingerprinted in ~300 ms), with a lot fever bytes used throughout the process.
Similarly to v3.2.0 the InMemoryModelService can now be serialized to file system, and reloaded on application startup (useful for scenarios when you don't want to add external data storages). QueryResult now contains Stats information about number of candidates analyzed during query, as well as segregated query duration information: QueryDuration and FingerprintingDuration. Fingerprinting and Query configurations are simplified with various profiles available for choise: LowLatency, Default and HighPrecision configurations. Choose one that corresponds to your scenario. Check Solr datasource for a fast persistent storage for fingerprints https://github.com/AddictedCS/soundfingerprinting.solr